Arcangelo Gentile

1.4k total citations
102 papers, 938 citations indexed

About

Arcangelo Gentile is a scholar working on Molecular Biology, Genetics and Small Animals. According to data from OpenAlex, Arcangelo Gentile has authored 102 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Genetics and 19 papers in Small Animals. Recurrent topics in Arcangelo Gentile's work include Animal health and immunology (14 papers), Neurological diseases and metabolism (9 papers) and Toxoplasma gondii Research Studies (7 papers). Arcangelo Gentile is often cited by papers focused on Animal health and immunology (14 papers), Neurological diseases and metabolism (9 papers) and Toxoplasma gondii Research Studies (7 papers). Arcangelo Gentile collaborates with scholars based in Italy, Switzerland and Germany. Arcangelo Gentile's co-authors include I. Lorenz, Cord Drögemüller, S. Testoni, Wolfgang Klee, Tosso Leeb, Leonardo Murgiano, Roberta Sacchetto, Gereon Schares, Francesco Mascarello and Marco Rossi and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Arcangelo Gentile

97 papers receiving 904 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arcangelo Gentile Italy 18 279 204 196 132 111 102 938
Katharine F. Lunn United States 18 179 0.6× 145 0.7× 334 1.7× 52 0.4× 71 0.6× 47 1.3k
Keren E. Dittmer New Zealand 17 140 0.5× 224 1.1× 86 0.4× 83 0.6× 88 0.8× 86 844
Amy L. Johnson United States 18 521 1.9× 67 0.3× 211 1.1× 30 0.2× 101 0.9× 97 1.5k
Yuji Sunden Japan 21 443 1.6× 89 0.4× 58 0.3× 158 1.2× 54 0.5× 86 1.5k
D. O. Rae United States 23 231 0.8× 397 1.9× 177 0.9× 487 3.7× 114 1.0× 72 1.7k
Atsushi Yasuda Japan 18 177 0.6× 111 0.5× 99 0.5× 46 0.3× 85 0.8× 52 965
K. Ochiai Japan 21 238 0.9× 169 0.8× 69 0.4× 96 0.7× 72 0.6× 123 1.5k
Julia T. Blue United States 20 301 1.1× 166 0.8× 105 0.5× 58 0.4× 136 1.2× 35 1.2k
Ricardo Feinstein Sweden 18 327 1.2× 189 0.9× 199 1.0× 38 0.3× 116 1.0× 57 1.2k
B. H. Thorp United Kingdom 27 424 1.5× 311 1.5× 266 1.4× 73 0.6× 212 1.9× 66 1.9k

Countries citing papers authored by Arcangelo Gentile

Since Specialization
Citations

This map shows the geographic impact of Arcangelo Gentile's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arcangelo Gentile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arcangelo Gentile more than expected).

Fields of papers citing papers by Arcangelo Gentile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arcangelo Gentile. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arcangelo Gentile. The network helps show where Arcangelo Gentile may publish in the future.

Co-authorship network of co-authors of Arcangelo Gentile

This figure shows the co-authorship network connecting the top 25 collaborators of Arcangelo Gentile. A scholar is included among the top collaborators of Arcangelo Gentile based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arcangelo Gentile. Arcangelo Gentile is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Guan, Qingdong, et al.. (2025). Identification of Two Novel Alleles HLA‐B*14:136 and HLA‐B*58:159 by Next‐Generation Sequencing. HLA. 105(2). e70042–e70042. 1 indexed citations
2.
Letko, Anna, et al.. (2024). Whole genome sequencing reveals candidate causal genetic variants for spastic syndrome in Holstein cattle. Scientific Reports. 14(1). 31188–31188.
3.
Dondi, Francesco, et al.. (2023). Associations between serum gamma-globulin concentration, enzyme activities, growth and survival in preweaning Alpine goat kids. Small Ruminant Research. 227. 107064–107064. 1 indexed citations
4.
Gentile, Arcangelo, et al.. (2023). First Report on Medical Treatment and Outcome of Burnt Cattle. Veterinary Sciences. 10(3). 187–187.
5.
Murgiano, Leonardo, Elisa Bianchini, Marcello Carotti, et al.. (2022). Differential Analysis of Gly211Val and Gly286Val Mutations Affecting Sarco(endo)plasmic Reticulum Ca2+-ATPase (SERCA1) in Congenital Pseudomyotonia Romagnola Cattle. International Journal of Molecular Sciences. 23(20). 12364–12364. 4 indexed citations
6.
Saegerman, Claude, Gereon Schares, Emmanuel Liénard, et al.. (2022). First Expert Elicitation of Knowledge on Drivers of Emergence of Bovine Besnoitiosis in Europe. Pathogens. 11(7). 753–753. 5 indexed citations
7.
Muscatello, Luisa Vera, et al.. (2022). A Missense Variant in PLP2 in Holstein Cattle with X-Linked Congenital Mast Cell Tumor. Animals. 12(18). 2329–2329. 1 indexed citations
8.
Peli, Angelo, et al.. (2022). Use of Electrodiagnostics in the Diagnosis and Follow-Up of Brachial Plexus Syndrome in a Calf. Veterinary Sciences. 9(3). 136–136.
9.
Häfliger, Irene M., Marco Bernardini, Maria Teresa Mandara, et al.. (2021). A homozygous missense variant in laminin subunit beta 1 as candidate causal mutation of hemifacial microsomia in Romagnola cattle. Journal of Veterinary Internal Medicine. 36(1). 292–299. 6 indexed citations
10.
Gallina, Laura, Michel C. Koch, Arcangelo Gentile, et al.. (2021). Bovine viral diarrhoea virus 1b infection associated with congenital tremor and hypomyelination in Holstein calves. Veterinary Microbiology. 256. 109047–109047. 3 indexed citations
11.
Häfliger, Irene M., et al.. (2021). A Heterozygous Missense Variant in MAP2K2 in a Stillborn Romagnola Calf with Skeletal-Cardio-Enteric Dysplasia. Animals. 11(7). 1931–1931. 3 indexed citations
12.
Häfliger, Irene M., et al.. (2021). A frameshift insertion in FA2H causes a recessively inherited form of ichthyosis congenita in Chianina cattle. Molecular Genetics and Genomics. 296(6). 1313–1322. 8 indexed citations
13.
Häfliger, Irene M., et al.. (2021). KCNG1-Related Syndromic Form of Congenital Neuromuscular Channelopathy in a Crossbred Calf. Genes. 12(11). 1792–1792. 12 indexed citations
14.
Häfliger, Irene M., et al.. (2020). A 6.7 kb deletion in the COL2A1 gene in a Holstein calf with achondrogenesis type II and perosomus elumbis. Animal Genetics. 52(2). 244–245. 4 indexed citations
15.
Fiore, Emilio, Matteo Gianesella, Cinzia Benazzi, et al.. (2016). Epiphysitis in fattening bulls: radiological and pathologic findings. Large animals review. 22(1). 43–45. 3 indexed citations
16.
Murgiano, Leonardo, et al.. (2016). A frameshift mutation in MOCOS is associated with familial renal syndrome (xanthinuria) in Tyrolean Grey cattle. BMC Veterinary Research. 12(1). 276–276. 10 indexed citations
17.
Schares, Gereon, Martin C. Langenmayer, Arcangelo Gentile, et al.. (2015). Naturally acquired bovine besnoitiosis: Differential distribution of parasites in the skin of chronically infected cattle. Veterinary Parasitology. 216. 101–107. 11 indexed citations
18.
19.
Gentile, Arcangelo, et al.. (2008). Anomalie der Grimmdarmspirale beim Rind. Tierärztliche Umschau. 63(3). 133–136139141. 1 indexed citations
20.
Gentile, Arcangelo, et al.. (2006). Inherited disorders of cattle: a selected review.. Slovenian Veterinary Research. 43(1). 17–29. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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